elasticsearch/docs/reference/ml/df-analytics/apis/start-trained-model-deploym...

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[role="xpack"]
[testenv="basic"]
[[start-trained-model-deployment]]
= Start trained model deployment API
[subs="attributes"]
++++
<titleabbrev>Start trained model deployment</titleabbrev>
++++
Starts a new trained model deployment.
[[start-trained-model-deployment-request]]
== {api-request-title}
`POST _ml/trained_models/<model_id>/deployent/_start`
[[start-trained-model-deployment-prereq]]
== {api-prereq-title}
Requires the `manage_ml` cluster privilege. This privilege is included in the
`machine_learning_admin` built-in role.
[[start-trained-model-deployment-desc]]
== {api-description-title}
Currently only `pytorch` models are supported for deployment. When deployed,
the model attempts allocation to every machine learning node.
[[start-trained-model-deployment-path-params]]
== {api-path-parms-title}
`<model_id>`::
(Required, string)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=model-id]
[[start-trained-model-deployment-query-params]]
== {api-query-parms-title}
`timeout`::
(Optional, time)
Controls the amount of time to wait for the model to deploy. Defaults
to 20 seconds.
`wait_for`::
(Optional, string)
Specifies the allocation status to wait for before returning. Defaults to
`started`. The value `starting` indicates deployment is starting but not yet on
any node. The value `started` indicates the model has started on at least one
node. The value `fully_allocated` indicates the deployment has started on all
valid nodes.
[[start-trained-model-deployment-example]]
== {api-examples-title}
The following example starts a new deployment for a
`elastic__d`istilbert-base-uncased-finetuned-conll03-english` trained model:
[source,console]
--------------------------------------------------
POST _ml/trained_models/elastic__distilbert-base-uncased-finetuned-conll03-english/deployment/_start?wait_for=started&timeout=1m
--------------------------------------------------
// TEST[skip:TBD]
The API returns the following results:
[source,console-result]
----
{
"allocation": {
"task_parameters": {
"model_id": "elastic__distilbert-base-uncased-finetuned-conll03-english",
"model_bytes": 265632637
},
"routing_table": {
"uckeG3R8TLe2MMNBQ6AGrw": {
"routing_state": "started",
"reason": ""
}
},
"allocation_state": "started"
}
}
----